ChatGPT solves LM324 output swing improvement

[danadakk]

See attached.

Regards, Dana.

--- Updated Apr 17, 2023 ---

Moderator, why are word files not allowed as attachments ? Can excel, ppt .... be attached ?

Regards, Dana.

--- Updated Apr 17, 2023 ---

Another question given to ChatGPT -

Regards, Dana.

 

[D.A.(Tony)Stewart]

"The current gain drops at high collector currents due to yet another mechanism known as the Kirk effect."

now for some silly GPT semi-jokes.

Why did the transistor refuse to open the door?
Because it was a "NPN" transistor and only allowed current to flow in one direction!

Why did the transistor go to the psychiatrist?
Because it had bipolar disorder!

Why did the NPN transistor refuse to work with the PNP transistor?
Because they couldn't seem to find any common ground!

 

[KerimF]

And....
MEXTRAM – Developer: Auburn University
MEXTRAM is an advanced compact model for the description of bipolar transistors. It contains many features that the widely-used Gummel-Poon model lacks. Mextram can be used for advanced processes like double-poly or even SiGe transistors, for high-voltage power devices, and even for uncommon situations like lateral NPN-transistors in LDMOS technology.

 

[D.A.(Tony)Stewart]

And....
MEXTRAM – Developer: Auburn University
MEXTRAM is an advanced compact model for the description of bipolar transistors. It contains many features that the widely-used Gummel-Poon model lacks. Mextram can be used for advanced processes like double-poly or even SiGe transistors, for high-voltage power devices, and even for uncommon situations like lateral NPN-transistors in LDMOS technology.

Is it obsolete? or transferred?

Mextram

Archived content is no longer updated and is made available for historical reference only | The Mextram model gives an excellent description of vertical bipolar transistors in all kinds of processes, amongst which are modern SiGe processes and robust HV processes.

www.nxp.com

 

[KerimF]

Is it obsolete? or transferred?

Mextram

Archived content is no longer updated and is made available for historical reference only | The Mextram model gives an excellent description of vertical bipolar transistors in all kinds of processes, amongst which are modern SiGe processes and robust HV processes.

www.nxp.com

The questions are:
Was it important for some engineers?
Did those who were interested in it find a better model for their applications?

I personally have no idea,
I just heard of it when I searched, by curiosity, the HiCUM model (mentioned on Dana's previous post). It happens it was on the same page of HiCUM (at Silicon Integration Initiative site). That's all

 

[danadakk]

Another question for ChatGPT :

what is a good complete spice model for a zener diode

A complete spice model for a Zener diode typically includes the following parameters:

1. Is: The saturation current of the diode.
2. N: The emission coefficient of the diode.
3. Rs: The series resistance of the diode.
4. Cjo: The zero-bias junction capacitance of the diode.
5. M: The grading coefficient of the diode.
6. Vj: The junction voltage of the diode.
7. BV: The breakdown voltage of the diode.
8. IBV: The breakdown current of the diode.
9. TT: The transit time of the diode.
10. EG: The bandgap energy of the diode.

A typical spice model statement for a Zener diode might look something like this:

.MODEL DZEN D (IS=1E-12 N=1.0 RS=0.1 CJO=10p M=0.5 VJ=0.7 BV=5 IBV=5m TT=0 EG=1.1)

This model assumes that the Zener diode has a saturation current of 1E-12 amps, an emission coefficient of 1.0, a series resistance of 0.1 ohms, a zero-bias junction capacitance of 10 picofarads, a grading coefficient of 0.5, a junction voltage of 0.7 volts, a breakdown voltage of 5 volts, a breakdown current of 5 milliamps, a transit time of 0 seconds, and a bandgap energy of 1.1 electron volts.

Note that the values of these parameters may vary depending on the specific Zener diode being used, and may need to be adjusted to match the datasheet specifications for that diode.

 

[Liya Khan]

Now that's a hyperbolic hypothetical loop that is unlikely to happen. Neither is all text contextualized on the web including 800 billion archive webpages and 38 million books. Yet algorithms are being developed to pre-scan and filter out low intelligence and false sources. For example, GPT can scan the content of SNOPES a source of fact checking, but it will not report on the tools that AI uses.

The idea of scanning and filtering out low intelligence and false sources through algorithms is promising, but it's essential to strike a balance between filtering and preserving diverse perspectives.