36 Pages

BrookeECE51_10_Operational_Amplifier_2

Course: ECE 51, Fall 2008
School: Duke
Rating:
 
 
 
 
 

Word Count: 2674

Document Preview

Operational Chapter12 Amplifier Applications Microelectronic Circuit Design Richard C. Jaeger Travis N. Blalock Chap 12 - 1 Chapter Goals Continue study of methods to determine transfer functions of circuits containing op amps. Study non-ideal op amp behavior. Demonstrate circuit analysis techniques for ideal and nonideal op amps. Learns factors involved in circuit design using op amps. Understand frequency...

Register Now

Unformatted Document Excerpt

Coursehero >> North Carolina >> Duke >> ECE 51

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Operational Chapter12 Amplifier Applications Microelectronic Circuit Design Richard C. Jaeger Travis N. Blalock Chap 12 - 1 Chapter Goals Continue study of methods to determine transfer functions of circuits containing op amps. Study non-ideal op amp behavior. Demonstrate circuit analysis techniques for ideal and nonideal op amps. Learns factors involved in circuit design using op amps. Understand frequency response limitations of op amp circuits. Model amplifier limitations due to limited bandwidth and slew rate of the op amp. Perform SPICE simulation of nonideal op amp circuits. Chap 12 - 2 Non-ideal Operational Amplifier Various error terms arise in practical operational amplifiers due to non-ideal behavior. Some of the non-ideal characteristics include: Finite open-loop gain that causes gain error Nonzero output resistance Finite input resistance Finite CMRR Common-mode input resistance DC error sources Output voltage and current limits Chap 11-3 Finite Open-loop Gain vo = Av = A(vs v ) = A(vs vo ) 1 id vo A Av = = v s 1+ A A is called loop gain. For A >>1, R 1 A = = 1+ 2 ideal R 1 v = vs v = vs vo 1 id v A = vs vs = s 1 + A 1 + A No longer zero, vid is small for large A. Chap 11-4 R 1 v = v v= o 1 R +R o 12 R 1 = is called feedback R +R factor. 12 Gain Error Gain Error is given by GE= (ideal gain)-(actual gain) For non-inverting amplifier, GE = 1 A 1 = 1+ A (1+ A ) Gain error is also expressed as a fractional or percentage error. 1 A 1 1 FGE = 1+ A = 1 1 + A A Chap 11-5 Gain Error: Example Problem: Find ideal and actual gain and gain error is percent Given data: Closed-loop gain of 200 (46 dB), open-loop gain of op amp is 10,000 (80 dB). Approach:Amplifier is designed to give ideal gain and deviations from ideal case are determined. Hence, = 1 . 200 R1 and R2 arent designed to compensate for finite open-loop gain of amplifier. A 104 Av = = = 196 Analysis: 4 1 + A 10 1+ 200 200 196 FGE = = 0.02 200 Chap 11-6 Nonzero Output Resistance Output terminal is driven by test source vx and current ix is calculated to determine output resistance (all independent sources are turned off).The equivalent circuit is same For both inverting and non-inverting amplifiers. Rout = ix vx Chap 11-7 Nonzero Output Resistance (contd.) Analysis: ix = io + i 2 io = Also, vid= -v1 and v x - Av vx i= 2 R +R Ro 12 R 1 v = v v= x 1 R +R x 12 i x 1 + A 1 1 = = + R vx Ro R +R out 12 id Thus, shunt feedback at output reduces Rout. If A is infinite, Rout=0 Chap 11-8 Rout = Ro R + R 1 + A 1 2 R Rout o Since, Ro/(1+A)<<(R1+R2), 1+ A Open-loop Gain Design: Example Problem: Design non-inverting amplifier and find open-loop gain Given Data: Av=35 dB, Rout =0.2, Ro = 250 Analysis: Av =1035dB / 20dB = 56.2 = 1 = 1 Av 56.2 Ro Rout = 0.2 1+ A 1 Ro = 56.2 250 1 = 7.03104 = 96.9dB A 1 R 0.2 out Chap 11-9 Finite Input Resistance: Non-inverting Amplifier Assuming i-<<i2 implies i1 = i2. R 1 v =v v o 1 R +R o 12 =(Av )= A(v x v ) 1 id A v= v 1 1+ A x A vx vx vx 1+ A ix = = R (1+ A)R id id R = R (1+ A) in id Chap 11-10 Test voltage source vx is applied to input and current ix is calculated. vx v 1 v =i R i R ix = 1 11 21 R id Finite Input Resistance: Inverting Amplifier R1 removed v x i x R1 + v R= = = R + vin ix 1 ix ix v v v v v Av 1 + 1 o= 1 + 1 1 i = i- + i = 1 2R R R R 2 2 id id i 1 1+ A 1 G = v = + 1 1R R 2 id R R 2 R + 2 R =R +R in 1 id 1+ A 1 1+ A For large A, Rin= R1 Chap 11-11 Finite Common-Mode Rejection Ratio (CMRR) A real amplifier responds to signal common to both inputs, called commonmode input voltage. In general, v +v vo = A(v v ) + Acm 1 2 12 2 = A(v ) + Acm (v ) ic id Chap 11-12 Finite Common-Mode Rejection Ratio CMRR (contd.) v v = v + id 1 ic 2 v v = v id 2 ic 2 Ideal amplifier has Acm = 0, but for a real amplifier, Acm v v ic = A v + ic vo = A v + id id A CMRR A(or Adm)= differential-mode gain Acm = common-mode gain vid = differential-mode input voltage vic = common-mode input voltage CMRR = A Acm Actual sign of CMRR isnt known before hand as only lower bound is given. Chap 11-13 Finite Common-Mode Rejection Ratio: Example Problem: Find error introduced by finite CMRR. Given Data: A=2500, CMRR=80 dB, v1 =5.001 V, v2 =4.999 V Assumptions: Op amp is ideal except for finite gain and CMRR. Here, CMRR of 80 dB corresponds to CMRR of 104. Assume CMRR=+ 104 Analysis: v = 5.001V 4.999V id v = 5.001V + 4.999V = 5.000V ic 2 v ic = 2500 0.002 + 5.000 V = 6.25V v = A v + ic id CMRR 104 Error introduced by common-mode input is 25% of differential input voltage. A 2500 Also, A= = = 0.25 = 12dB cm CMRR 10000 Chap 11-14 Voltage Follower Gain Error due to CMRR Ideal gain for voltage follower is unity, gain error A 1 2CMRR GE = 1 Av = 1 1+ A1 2CMRR Since, both A and CMRR are normally >>1, 1 1 GE A CMRR First term is due to finite amplifier gain, second term shows that CMRR may introduce an even larger error. Chap 11-15 v = vs vo id v= ic vs + v o 2 (v + v ) vo = A (vs vo ) + s o 2CMRR 1 A1+ vo 2CMRR Av = = 1 vs 1+ A1 2CMRR Common-mode Input Resistance When a pure common-mode signal vic is applied to amplifier input(vid =0), total resistance presented to source is 2Ric 2Ric = Ric. Ric is common-mode input resistance. Normally, Ric >> Rid. R = R 4R For a purely differential-mode input signal, input resistance is in id ic Chap 11-16 DC Error Sources: Input-Offset Voltage With inputs being zero, the amplifier output rests at some dc voltage level instead of zero. The equivalent dc input offset voltage is V V =o OS A The amplifier is connected as voltage-follower to give output voltage equal to offset voltage. To include effect of offset voltage, v ic +V vo = A v + OS id CMRR If vid =0, v ic +V = A(v ) vo = A OS CMRR OS v CMRR = v ic V/V OS Thus, CMRR is a measure of how total offset voltage changes from its dc value when common-mode voltage is applied. Chap 11-17 DC Error Sources: Input-Offset Voltage (Example) Output voltage is given by 99k V 1+ (0.003) = 0.25V OS 1.2k Problem: Find quiescent dc voltage at output. Given data: R1 =1.2 k, R2 = 99 k , VOS 3mV Assumptions: Ideal op amp except for nonzero offset voltage. Actual sign of VOS is unknown as only upper bound is given. Note: Offset voltage of most IC op amps can be manually adjusted by adding a potentiometer as shown. Chap 11-18 DC Error Sources: Power Supply Rejection Ratio (PSRR) Power supply voltages change due to long-term drift or noise on supplies. Equivalent input offset voltage changes in response to power supply voltage changes. PSRR measures the ability of amplifier to reject power supply variations. PSRR indicates how offset voltage changes in response to change in power supply voltages. PSRR+ = v v PSRR = v v OS CC OS EE Generally PSRR values for v+ and v- are different. Both CMRR and PSRR fall rapidly with frequency increase. Chap 11-19 DC Error Sources: Input-Bias and Offset Currents Bias currents IB1 and IB2 ( base currents in BJTs or gate currents in MOSFETs or JFETs) are similar in value with directions depending on internal amplifier circuit type. I =I I OS B1 B2 Sign of offset current is unknown as only upper bound is given. In inverting amplifier shown, IB1 shorted out by ground connection. Since,inverting input is at virtual ground, amplifier output is forced to supply IB2 through R2 . Vo = I R B2 2 Chap 11-20 DC Error Sources: Input-Bias and Offset Currents - Bias Current Compensation By superposition, R VoT = I R I R 1+ 2 B2 2 B1 B R 1 = (I I )R = I R B2 B1 2 OS 2 RR if RB = 1 2 . R +R 1 2 Bias current compensation resistor RB is used in series with non-inverting input. Output due to IB1 alone is R Vo = I R 1+ 2 B1 B R 1 Since, offset current is typically 5-10 times smaller than individual bias currents, dc output voltage error can be reduced by using bias compensation. Chap 11-21 DC Error Sources: Input-Bias and Offset Currents - Errors in Integrator At t=0, reset switch is opened, circuit starts integrating its own offset voltage and bias current. Using superposition analysis, V I vo(t) =V + OS t + B2 t OS RC C At t<0, reset switch is closed, circuit becomes a voltagefollower, Vo =V OS Output becomes ramp with slope determined by VOS and IB2 and saturates one at of the power supplies. Chap 11-22 Output Voltage and Current Limits Practical op amps have limited output voltage and current ranges. Voltage: Limited to several volts less than power supply span. Current: Limited by additional circuits (to limit power dissipation or protect against accidental short circuits). Current limit specified as minimum load resistance that the amplifier can drive with a given voltage swing. Eg: i = 10V = 2mA o 5k v vo v io = i + i = o + =o LFR R +R R L 21 EQ R = R (R + R ) EQ L 1 2 For inverting amplifier, R =R R EQ L 2 Chap 11-23 Output Voltage and Current Limits: Example Assumptions: Ideal op amp except for limited output current. 10V Analysis: R =R R = 4k EQ L 2 2.5mA Since RL 5k R2 20k Since Av=20 dB, R 2 = 10 R 1 We choose R1 =10 k and R2 =100 k to provide an input resistance of 10 k. Maximum output current will be: 10V 10V io + = 2.1mA < 2.5mA 100k 5k Chap 11-24 Problem: Design inverting amp with given specifications. Given Data: Av=20 dB, R 5k vo 10V L Magnitude of output current less than 2.5 mA. Frequency Response of Op Amps: General Case Op amps: Low-pass amplifier with high gain at dc and a single-pole frequency response. Ao A B= o T A(s) = s + s + B B Ao A B = oB A( j ) = 2 + 2 2 B 1+ 2 B B = open loop bandwidth of op amp. T = unity gain frequency or gain bandwidth product (frequency at which magnitude of gain is unity). Ao T B At >>B, A( j ) = At >>T, A( j ) = T = 1 A( j ) = T At >>B,product of magnitude of amplifier gain and frequency is a constant value of unity gain frequency. Hence, T is also called gainbandwidth product. Chap 11-25 Frequency Response of Op Amps: General Case (Example) Ao = 1080dB/20dB = 104 =103rad/s B Ao 43 7 Av(s) = s + B = 10 10 = 10 B s +103 s +103 Frequency values are often expressed in Hz. f = B = 159Hz B 2 f = T = 1.59MHz T 2 Chap 11-26 Problem: Find transfer function describing frequencydependent amplifier voltage gain. Frequency Response of Op Amps: Noninverting Amplifier For a closed-loop feedback amplifier: Ao B Av(s) = A(s) = 1+ A(s) s + (1+ Ao ) B Ao 1+ Ao A (0) Av(s) = = sv s +1 +1 (1+ Ao ) B H = (1+ Ao ) = T H B Av (0) For Ao >>1, 1 H T Av (0) At low frequencies, gain is set by the feedback, but at high frequencies, it follows the gain of the amplifier. Chap 11-27 Frequency Response of Op Amps: Noninverting Amplifier (Example) Problem: Characterize frequency response of noninverting amplifier. Given data: Ao= 105= 100 dB, fT= 107 Hz, desired Av= 1000= 60 dB Assumptions: Amplifier is described by single-pole transfer function. 7 f Analysis: T = 10 Hz = 100Hz f= BA 105 o f = f (1+ Ao ) = 100(1+105103) = 10.1kHz H B = 1 = 1 = 103 Av (0) 1000 Ao 5 2 7 Op amp transfer Av (s) = s + B = 10 (2 )(10 ) = 2 10 B s + (2 )(102 ) s + 200 function Ao Noninverting amplifier 2 107 B Av (s) = = s + (1+ Ao ) s + 0.02 104 transfer function B Chap 11-28 Frequency Response of Op Amps: Inverting Amplifier R A(s) 2 Av(s) = R 1+ A(s) 1 R A Ao 2 o B R 1+ A R s + o B Av(s) = 2 = 1s R Ao B +1 1+ (1+ A ) 1 o s + B B R A R For Ao >>1, 2 o 2 R 1+A R o 1 T 1 = Av (s)= s s H T Ao +1 +1 1+ Ao H H Chap 11-29 Frequency Response of Op Amps: Inverting Amplifier (Example) Problem: Characterize frequency response of inverting amplifier. Given data: Ao= 2X105, fT= 5X105 Hz, desired Av=- 100= 40 dB Assumptions: Amplifier is described by single-pole transfer function. Analysis: f 5105 Hz f = T= = 2.5Hz BA 5 2 10 o 1 2 105 =1 f = f (1+ Ao ) = 2.5Hz(1+ ) = 4.95kHz = 1+ Av (0) 101 H B 101 Ao B = T = 5105(2 ) = 106 Op amp transfer Av (s) = s + s + B B s + (2 )(2.5) s + 5 function R Ao 9.90 105 Inverting amplifier 2 B Av (s) = = s + (1+ Ao ) s + 9.91103 transfer function R B 1 Chap 11-30 Frequency Response of Cascaded Amplifiers Av (0) = A (0) A (0)... A (0) vN v1 v2 Bandwidth of the cascade amplifier is the frequency at which gain is reduced by -3 dB from its low frequency value. A (0) A (0)... A (0) vN v2 Av ( j ) = v1 H 2 For identical stages, Assume that stages do not interact, V (s) V V V oN = o1 o2 ... oN Av (s) = Vs V V Vs(s) o1 o(N-1) = A (s) A (s)... A (s) vN v1 v2 A (0) A (0) A (0) v1 v2 Av (s) = ... vN s s s 1 + 1+ 1+ HN H1 H2 A (0) Av ( j ) = v1 H 2 = 21/ N 1 H H1 Chap 11-31 N Frequency Response of Cascaded Amplifiers: Example Problem: Calculate gain and bandwidth of a 2-stage amplifier with 500 A= v1 1+ s 2000 250 A= v 2 1+ s 4000 1.25105 Av ( j ) = 2 1+ 2 1+ 20002 40002 Approach: Av = Av1Av2. Find Av(0), apply definition of bandwidth to find fH. Analysis: 125,000 Av (s) = s s 1+ 1+ 2000 4000 Av (0) = (500)(250) = 125,000 = 102dB H is defined by A Av (0) 1.25105 A( j ) = mid = = H 2 2 2 2 1+ 2 = 2 1+ 20002 40002 f = 267Hz H Bandwidth of cascaded amplifier is lesser than that of individual stages. Chap 11-32 Large Signal Limitations: Slew Rate and Full-Power Bandwidth Slew rate: Maximum rate of change of voltage at output of op amp.Typical values range from 0.1V/s to 10V/s. vo =V sint M dvo =V cost =V dt max M max M For no signal distortion, V SR M SR V M Full-power bandwidth is highest frequency at which a full-scale signal can be developed. SR f M 2V FS Chap 11-33 For given frequency, slew rate limits maximum signal amplitude that can be amplified without distortion. Operational Amplifier Macro Model for Frequency Response Simplified circuit representations are available in most simulators to model terminal behavior of op amps that include all nonideal limitations of op amps and large number of parameters that can be adjusted to model op amp behavior. To model a single-pole roll-off, auxiliary dummy loop (voltage controlled voltage source v1 in series with R and C) is added to original 2-port. RC product chosen to give desired -3dB point for open loop amplifier. Vo(s) Ao B Av (s) = = V (s) s + 1 B =1 B RC Chap 11-34 Op Amps For Lab TLC27L2CP Single Supply Op Amp $.75 MC33078N Low Noise Op Amp $1.04 HSPICE Macro models **StandardLinearIcsMacromodels,1993. **CONNECTIONS: * TLC27L2 OPERATIONAL AMPLIFIER "MACROMODEL" SUBCIRCUIT * CREATED USING PARTS RELEASE 4.03 ON 07/10/90 AT 15:01 * REV (N/A) SUPPLY VOLTAGE: 5V * CONNECTIONS: NON-INVERTING INPUT * | INVERTING INPUT * | | POSITIVE POWER SUPPLY * | | | NEGATIVE POWER SUPPLY * | | | | OUTPUT * ||||| .SUBCKT TLC27L2 1 2 3 4 5 * C1 11 12 10.12E-12 C2 6 7 15.00E-12 DC 5 53 DX DE 54 5 DX DLP 90 91 DX DLN 92 90 DX DP 4 3 DX EGND 99 0 POLY(2) (3,0) (4,0) 0 .5 .5 FB 7 99 POLY(5) VB VC VE VLP VLN 0 419.1E6 -70E6 70E6 70E6 -70E6 GA 6 0 11 12 7.069E-6 GCM 0 6 10 99 282.0E-12 HLIM 90 0 VLIM 1K ISS 3 10 DC 450.0E-9 J1 11 2 10 JX J2 12 1 10 JX R2 6 9 100.0E3 RD1 60 11 141.5E3 RD2 60 12 141.5E3 RO1 8 5 85 RO2 7 99 85 RP 3 4 523.6E3 RSS 10 99 444.4E6 VAD 60 4 -.5 VB 9 0 DC 0 VC 3 53 DC 1.470 VE 54 4 DC .57 VLIM 7 8 DC 0 VLP 91 0 DC 20 VLN 0 92 DC 20 .MODEL DX D(IS=800.0E-18) .MODEL JX PJF(IS=300.0E-15 BETA=222.1E-6 VTO=.027) .ENDS *1INVERTINGINPUT *2NONINVERTINGINPUT *3OUTPUT *4POSITIVEPOWERSUPPLY *5NEGATIVEPOWERSUPPLY .SUBCKTMC3307813245(analog) ******************************************************** .MODELMDTHDIS=1E8KF=2.286238E16CJO=10F *INPUTSTAGE CIP251.200000E11 CIN151.200000E11 EIP105251 EIN165151 RIP10112.363636E+00 RIN15162.363636E+00 RIS11151.224040E+01 DIP1112MDTH400E12 DIN1514MDTH400E12 VOFP1213DC0 VOFN1314DC0 IPOL1351.100000E04 CPS11152.35E09 DINN1713MDTH400E12 VIN1751.000000e+00 DINR1518MDTH400E12 VIP4181.000000E+00 FCP45VOFP1.718182E+01 FCN54VOFN1.718182E+01 FIBP25VOFN4.545455E03 FIBN51VOFP4.545455E03 *AMPLIFYINGSTAGE FIP519VOFP9.545455E+02 FIN519VOFN9.545455E+02 CC19291.500000E08 HZTP3029VOFP1.523529E+02 HZTN530VOFN1.523529E+02 DOPM5122MDTH400E12 DONM2152MDTH400E12 HOPM2228VOUT5.172414E+03 VIPM2841.500000E+02 HONM2127VOUT4.054054E+03 VINM5271.500000E+02 DBIDON11953MDTH400E12 V151530.68 DBIDON25419MDTH400E12 V254520.68 RG115153.04E+05 RG125143.04E+05 RG215250.6072E+05 RG225240.6072E+05 E150405101E240395201 EDEC13839400.5 EDEC2038500.5 DOP5125MDTH400E12 VOP4251.474575E+00 DON2452MDTH400E12 VON2451.474575E+00 RAJUS5051E12 GCOMP54458.1566068E04 RPM15801E+06 RPM24801E+06 GAVPH58250803.26E03 RAVPHGH824613 RAVPHGB825613 RAVPHDH82831000 RAVPHDB82841000 CAVPHH4830.159E09 CAVPHB5840.159E09 EOUT26238251 VOUT2350 ROUT2634.780354E+01 COUT351.000000E12 .ENDS
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Duke - STAT - 113
Hypotheses and test procedures Tests for population means P-values Two sample testsHypothesis testingSayan MukherjeeSta. 113 Chapter 8 and 9 of DevoreNovember 26, 2007Sayan MukherjeeHypothesis testingHypotheses and test procedures Tests f
Duke - STAT - 113
Discrete probabilityIntroduction to discrete probabilitySayan MukherjeeSta. 113 Chapter 2 of DevoreAugust 30, 2007Sayan MukherjeeIntroduction to discrete probabilityDiscrete probabilityTable of contents1Discrete probability Set theo
Duke - STAT - 113
Discrete random variables and probability distributionsSayan MukherjeeSta. 113 Chapter 3 of DevoreAugust 30, 2007Sayan MukherjeeDiscrete random variables and probability distributionsTable of contentsSayan MukherjeeDiscrete random varia
Duke - STAT - 113
Continuous random variables Continuous distributionsContinuous random variables and probability distributionsSayan MukherjeeSta. 113 Chapter 4 of DevoreSeptember 13, 2007Sayan MukherjeeContinuous random variables and probability distributio
Duke - STAT - 113
Jointly distributed random variablesJoint distributions and the central limit theoremSayan MukherjeeSta. 113 Chapter 5 of DevoreSeptember 27, 2007Sayan MukherjeeJoint distributions and the central limit theoremJointly distributed random v
Duke - STAT - 113
General concepts Properties of estimators Maximum Likelihood estimationPoint estimationSayan MukherjeeSta. 113 Chapter 6 of DevoreOctober 18, 2007Sayan MukherjeePoint estimationGeneral concepts Properties of estimators Maximum Likelihood
Duke - STAT - 113
Normal distribution known variance Large sample CI, or CLT to the rescue Small sample normal, thank Guinness Condence intervals on the spread or variance Condence bounds Sample size computationsCondence intervalsSayan MukherjeeSta. 113 Chapter 7
Duke - BIO - 147
Analysis of RNA expressionPreview Northern blots Microarrays Examples of microarray experiments Analysis of microarray expressionGenomewide expression analysis Goal: to measure RNA levels of all genes in genome RNA levels vary with the foll
Duke - BIO - 147
Chapter 4. Cells and cellular states 4.1 What are cells? Driving through the lush vineyards that cover almost every acre of arable land in Californias Sonoma valley one cant but marvel at how mixing grape juice with a few living yeast cells has broug
Duke - BIO - 147
Cells and cellular statesUnit Preview What is a cell? Whats in a cell? How do cells function? What is a cellular state? How do we visualize cells? Can we make a synthetic cell?From grapes to wineProkaryotic CellEukaryotic animal cellP
Duke - BIO - 147
Chapter 5 Proteins: From structure to information flow within a cell5.1 To fry an egg When you fry an egg there is a remarkable transformation from a clear gelatinous goo to a soft white opaque solid. As heat is transferred from the pan, the molecu
Duke - BIO - 147
ProteinsHow information is transferred between and within cellsTranslation in prokaryotesFig. 5.1aTranslationFig. 5.1bFig. 5.1CRibosomesFig. 5.2Transfer RNAFig. 5.3Adding amino acids to a peptideFig. 5.4Fig. 5.5Translation
Duke - BIO - 147
REVIEWSModellingStochastic modelling for quantitative description of heterogeneous biological systemsDarren J. WilkinsonAbstract | Two related developments are currently changing traditional approaches to computational systems biology modellin
Duke - BIO - 147
Vol 456 | 27 November 2008 | doi:10.1038/nature07389LETTERSA fast, robust and tunable synthetic gene oscillatorJesse Stricker1*, Scott Cookson1*, Matthew R. Bennett1,2*, William H. Mather1, Lev S. Tsimring2 &amp; Jeff Hasty1,2One defining goal of sy
Duke - BIO - 147
The Cell Cycle1. duplicate 2. segregateA Simple Cell Cycle (Embryonic)DNA synthesisSMmitosisSomatic cell and yeast cell cycleGap phases: decision makingCommitment to divide Extracellular signalingCommitment to mitosis Intracellular s
Duke - BIO - 147
Introduction To Systems Biology Problem Set 1 Please submit you answers with the code at the end of the document with a page break between the code for each program. Modular programs are encouraged (and youll probably find it easier), but are not req
Duke - BIO - 147
Problem Set 1 Grading Explanations For particular cases, or if you want to find out the causes of your particular grade, please come see me. In most cases, it should be clear from this explanation why you lost points. There were two ways, overall, i
Duke - BIO - 147
Problem Set 1 Grading Explanations For particular cases, or if you want to find out the causes of your particular grade, please come see me. In most cases, it should be clear from this explanation why you lost points. There were two ways, overall, i
Duke - BIO - 147
Introduction to Systems Biology Problem Set 2 Due: Before Spring BreakOnly two problems this time. For the first problem, all I want are the answers to the included questions. For the second problem, please put your answers to the questions on one p
Duke - BIO - 147
letters to natureWestern blottingRibosomal complexes assembled and puried as described above were TCA-precipitated. Proteins were resolved on 12% polyacrylamide gel, transferred to nitrocellulose membrane and probed for eIF1 and eIF5B using T7-tag
Duke - POL SCI - PolSci92
02/25/08 Authoritarian Regimes: no accountability (government is not accountable to the people), government is not responsive to the people/citizens/voters Medium Voter Theorem: target/satisfy the preferences of medium votersnot always in the centert
WVU - COMM - 100
Unit1: Ethics in Communication Ethical Judgments: focus on degrees of rightness and wrongness, virtue and vice, and obligation in human behavior When do ethical issues arise in communication? 1. Whenever a behavior could have significant impact on ot
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Michigan - MECHENG - 240
[ME240 2008W] Homework #3 - Problem Set (Due : 1/25 Fri)Chap. 14 70, 81, 86 (with additional problem), 95, 100, 135In addition to 14.86, also determine the tension force exerted by the string as a function of angle . (i.e. Determine ()Note: H
Michigan - MECHENG - 240
Note: Additional problem (solving for T ) to 14.86 is 14.85 on 5th edition text book.[solution] Using polar coordinates, Fr = T + f = mar = m r r2 F = NH = ma = m r + 2r Considering vertical direction (through the paper) for gravity (g) and the n
Michigan - MECHENG - 240
Answers in back of book: 15.12: 3.27 m/s 15.30: 15.36: 3.55 m/s 15.66: 5.77 m/s
Michigan - MECHENG - 240
Michigan - MECHENG - 240
[ME240 2008W] Homework #6 - Problem Set (Due : 2/22 Fri)Chap. 16 - 78, 81 Chap. 17 - 3, 18, 27, 30NOTE: Problem 16.80 is given for your reference[Answers for even number problems from the text book (5th edition)] 16.78 v_A=-5.71i+4j+8k (m/s) v_
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Ans from back of book: 17.78: BC=5.33 rad/sec counterclockwise CD=4.57 rad/sec clockwise 17.98: AB=19.0 rad/sec^2
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Answer in back of book:
Michigan - MECHENG - 240
[ME240 2008W] Homework #9 - Problem Set (Due : 3/21 Fri)Chap. 18 - 38, 40, 45, 48, 65, 125[Answers for even number problems from the text book (5th edition)] 18.38 (a) 14.8 rad/s^2 clockwise (b) 0.227 18.40 Velocity = 3.81 ft/s, time=1.97s 18.48
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Answers from back of book: 19.14: 3.33 rad/s 19.38: 2.57 rad/s counterclockwise 19.62: 1.46 m/s
Michigan - MECHENG - 240
Homework #11 Due Friday, April 4Solutions from back: 19.72 1.27 kN 21.8 L=0.203 m 21.22 answer not given
Michigan - MECHENG - 240
Michigan - MECHENG - 240
[ME240 2008W] Homework #9 - Problem Set (Due : 4/14 Mon)Chap. 21 - 39, 44, 51, 61, 63, 70[Answers for even number problems from the text book (5th edition)] 21.44 (a) t_d=2.32s , f_d=0.431 Hz (b) 5.28s 21.70 16.5 in
Michigan - MECHENG - 240
! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !!!
Michigan - MECHENG - 240
Answers to problems in back of book: 15.134 (a) 27.9 degrees (b) 159 lb (c) 222 lb 16.62 A: 228 ft/s2 (7.09 gs) B: 155 ft/s2 (4.81 gs)
Michigan - MECHENG - 240
Michigan - MECHENG - 240
Michigan - MECHENG - 240
ME 240: Introduction to Dynamics and Vibrations Mechanical Engineering Department The University of Michigan Winter 2008 Computer Assignment #1 January 25, 2007(Due 2/8/2007 Friday) Consider a mass m sliding on a frictionless circular ring subject t
Michigan - MECHENG - 240
ME 240: Introduction to Dynamics and Vibrations Mechanical Engineering Department The University of Michigan Computer Assignment #1 Supplemental DocumentOriginally prepared by Akira Saito and modied here by Todd Lillian1IntroductionIn this doc
Michigan - MECHENG - 240
ME 240: Introduction to Dynamics and Vibrations Mechanical Engineering Department The University of Michigan Winter 2008 Computer Assignment #1 Solution February 8, 2007Prepared by Joosup Lim (jooslim@umich.edu)(i)Free body diagram is shown in Fi
Michigan - MECHENG - 240
ME 240: Introduction to Dynamics and Vibrations Mechanical Engineering Department The University of Michigan Computer Assignment #2Assigned: 14 March 2008. Due: 28 March 2008IntroductionDr. Perkins and his students have developed a 6 degree of fr
Michigan - MECHENG - 240
ME 240: Introduction to Dynamics and Vibrations Mechanical Engineering Department The University of Michigan Computer Assignment #2 SolutionAssigned: 14 March 2008. Due: 28 March 2008IntroductionDr. Perkins and his students have developed a 6 deg
Michigan - MECHENG - 240
University of Florida - EGM - 3520
14-17Copolymers14.15 This problem asks for sketches of the repeat unit structures for several alternating copolymers. (a) For poly(ethylene-propylene)(b) For poly(butadiene-styrene)(c) For poly(isobutylene-isoprene)Excerpts from this work ma
University of Florida - EGM - 3520
University of Florida - EGM - 3520
University of Florida - EGM - 3520
University of Florida - EGM - 3520
14-314.3 We are asked to compute the degree of polymerization for polystyrene, given that the numberaverage molecular weight is 500,000 g/mol. The repeat unit molecular weight of polystyrene is just m = 8(AC) + 8(AH)= (8)(12.01 g/mol) + (8)(1.008
University of Florida - EGM - 3520
14-15Thermoplastic and Thermosetting Polymers14.13 This question asks for comparisons of thermoplastic and thermosetting polymers. (a) Thermoplastic polymers soften when heated and harden when cooled, whereas thermosetting polymers, harden upon he
University of Florida - EGM - 3520
15-11Factors That Influence the Mechanical Properties of Semicrystalline Polymers Deformation of Elastomers15.11 (a) The tensile modulus is not directly influenced by a polymer's molecular weight. (b) Tensile modulus increases with increasing degr
University of Florida - EGM - 3520
15-1415.14 This problem gives us the tensile strengths and associated number-average molecular weights for two poly(methyl methacrylate) materials and then asks that we estimate the tensile strength for M n = 40,000 g/mol. Equation 15.3 cites the d
University of Florida - EGM - 3520
15-3415.31 (a) Yes, it is possible to determine which polymer has the higher melting temperature. The linear polyethylene will most likely have a higher percent crystallinity, and, therefore, a higher melting temperature than the branched polyethyl