Firman Simanjuntak

Lecturer at Electronics & Computer Science, University of Southampton. PhD in Materials Sci. & Eng.

[Firman Simanjuntak @firmangasa]

@IEEESpectrum has covered our recent work. Thanks to the wonderful teamwork consisting of researchers from @NYCU_official, @brin_indonesia, VIT-India, @KingsCollegeLon, and @unisouthampton. The research article will be published in IEEE EDL soon. https://t.co/8jhYaPrtH2

[Firman Simanjuntak @firmangasa]

Proud supervisor moment today. 🎓
My 1st PhD student, Alex Wang, officially graduated today.
It’s been a pleasure to be part of the journey and to watch Alex grow as a researcher and entrepreneur, building https://t.co/x6RiwuEe4e, while completing a PhD. Congrats, Dr Alex!

[Firman Simanjuntak @firmangasa]

Thank you to Dr Patrick Ho for visiting us last month and delivering an insightful seminar on memristor-FPGA integrated platforms for intelligent edge computing.

A great discussion on the challenges of connecting analogue emerging devices with digital FPGA systems.

[Firman Simanjuntak @firmangasa]

We studied the cycle-to-cycle reliability of memristor-transistor hybrid logic gates under cycle-to-cycle switching variability. The results highlight both the potential and the reliability limits of memristor-driven logic for future low-power, high-density computing systems.

[Firman Simanjuntak @firmangasa]

Earlier this month, we had the pleasure of hosting our industry partners, Dr. Wahyu Diyatmika and Dr. Nikol Lambeva from VON ARDENNE (Germany). This invited talk is part of the activities of the EPSRC-funded SPICA project.

[Firman Simanjuntak @firmangasa]

Check out our critical review on memristor synapses in @Nano_MDPI (https://t.co/kKFYMTLqOF), overviewing device physics, synaptic emulation, optoelectronic advances & hardware for AI—from MNIST recognition to retinal implants & organ monitoring. Brain-like computing awaits!

[Firman Simanjuntak @firmangasa]

Another paper has been published led by my MSc students.

We propose a new statistical metric “Fluctuation Factor (FF)” to predict how likely the circuit is to produce good random bits by quantifying variations in the switching process, which other commonly used metrics can’t.

[Firman Simanjuntak @firmangasa]

Teacher’s proud moment. My PhD student won best paper award!

[Firman Simanjuntak @firmangasa]

Most low-temperature fabricated devices are not CMOS compatible because they wont survive back-end thermal process which induce element intermixing, damaging interfaces. In this paper, we intentionally exploit the intermixing to make better devices for #AI applications!

[Selina La Barbera @Selinitter]

Researchers from @FudanUni develop bio-inspired firing feature-driven #neuralcircuits with scalable #memristive neurons for #robotic obstacle avoidance.

Now out👉@NatureComms
https://t.co/0p4OxhfstU

[Melika Payvand @MelikaPayvand]

Check out "DenRAM", the first implementation of delay-based dendritic architecture using #RRAM+CMOS technology, which we show is a natural match for efficient temporal signal processing @NatureComms.
paper: https://t.co/ddNtHahAvQ
code: https://t.co/I9WTqjgkd9
Thread 🧵

[Deep Jariwala @deep29jariwala]

New paper in @NatureElectron. The first ever demonstration of a scalable high temperature non-volatile memory technology. Great collaboration with Troy Olsson, @stach_eric and @AFResearchLab. @Penn @PennEngineers @ESEatPenn @MSEatPenn @UPennSinghNano
https://t.co/MC0rgLnikc

[Brad Aimone @jbimaknee]

"Neurons are noisy" is one of the bigger (and for neural computing, detrimental...) misconceptions around the brain.

Everything about brains' development and anatomy is so intricate, why would communication be random and unpredictable? Any variation is there for a reason.

[Selina La Barbera @Selinitter]

Prof. @DuyguKuzum and colleagues from @UCSanDiego report a filament-free trilayer metal-oxide bulk switching #RRAM technology for #edge #computing for an #autonomous #navigation task.

Now out @NatureComms 👉 https://t.co/nwcxp0IuEU

[Selina La Barbera @Selinitter]

Wang et al. report a nanoscale #LED with memory #electroluminescence, which can realize multiple action potentials combinations through a single optical channel in bio-inspired #afferent #nerves.

Now out 👉 @NatureComms https://t.co/rn6q7E4cfE

[Selina La Barbera @Selinitter]

Researchers from @SandiaLabs, @SeoulNatlUni and @TAMU experimentally demonstrate that tunable #stochastic #memristors can perform #cryptographic key generation and #energyefficient #encryption and #computing.

Now out 👉@NatureComms https://t.co/VrNA9wBygR

[Eric Pop @profericpop]

This @IEEESpectrum article written by Mark Liu (@TWSemicon chairman) and my colleague, Philip Wong (@HSPhilipWong), is required reading for anyone working on semiconductors and AI today. https://t.co/tgqyXnjAuf

[Selina La Barbera @Selinitter]

Inspired by the human cochlea, Milozzi et al. @NanoDeviceLab develop #neuromorphic #circuits for #memristive tonotopic mapping via #volatile resistive switching #memory devices.

Now out 👉@NatureComms https://t.co/0OnhTVdFhg

[Selina La Barbera @Selinitter]

Researchers from @UTAustin report an ultra-fast #memristor based on thin sheets of hexagonal Boron Nitride exhibiting the shortest observed switching #speed (120 ps) among #2D #memristors and low switching #energy (2pJ).

Now out👉@NatureComms https://t.co/kEXjZSecwK

[Dr. Manan Suri @manansuri2002]

Our recent article on #Neuromorphic Spike Freq. Adaptation published in @NaturePortfolio Comm. Eng.
Thanks co-authors @saibezugam @MelikaPayvand Elisabeth Sounak & Chittotosh.
@fitt_iitd
@iitdelhi, @ucsantabarbara @ETH_en @TCSResearch

https://t.co/vjIn6kNtDz