Asir Intisar Khan (@asirkhan22) 's Twitter Profile
Asir Intisar Khan

@asirkhan22

Postdoc, @UCBerkeley EECS | PhD, EE @Stanford | Data-storage and computing, Electronic materials

ID: 1324011678602686465

linkhttps://www.asir-i-khan.org/ calendar_today04-11-2020 15:32:49

22 Tweet

92 Followers

135 Following

Eric Pop (@profericpop) 's Twitter Profile Photo

Asir Intisar Khan's new paper on superlattice phase change memory is now on IEEE Xplore: doi.org/10.1109/LED.20…. This sheds light into the thermal switching mechanism and the lower memory resistance drift. The atomic-scale images are also pretty. IEEE Stanford Engineering standford

<a href="/asirkhan22/">Asir Intisar Khan</a>'s new paper on superlattice phase change memory is now on <a href="/IEEEXplore/">IEEE Xplore</a>: doi.org/10.1109/LED.20…. This sheds light into the thermal switching mechanism and the lower memory resistance drift. The atomic-scale images are also pretty. <a href="/IEEEorg/">IEEE</a> <a href="/StanfordEng/">Stanford Engineering</a> <a href="/stanford_ee/">standford</a>
Eric Pop (@profericpop) 's Twitter Profile Photo

A nice short article in Forbes covering our energy-efficient phase-change memory breakthrough. Work led by Asir Intisar Khan and Alwin Daus, article by Jennifer. Research was done nano@stanford and Stanford Engineering. forbes.com/sites/jennifer…

Eric Pop (@profericpop) 's Twitter Profile Photo

Our work led by Asir Intisar Khan is a conference highlight @VLSI_2022: "First Demonstration of Ge2Sb2Te5-Based Superlattice Phase Change Memory". Catch Asir's talk T4-1 on Wed morning at 10:05am! Work funded by Semiconductor Research Corporation (SRC) and Stanford NMTRI. #VLSI22 vlsisymposium.org/media/

Our work led by <a href="/asirkhan22/">Asir Intisar Khan</a> is a conference highlight @VLSI_2022: "First Demonstration of Ge2Sb2Te5-Based Superlattice Phase Change Memory". 

Catch Asir's talk T4-1 on Wed morning at 10:05am! Work funded by <a href="/srcorg/">Semiconductor Research Corporation (SRC)</a> and Stanford NMTRI. #VLSI22

vlsisymposium.org/media/
Eric Pop (@profericpop) 's Twitter Profile Photo

Great talks @VLSI_2022 today by current and past PopLab members: Asir Intisar Khan on superlattice PCM (Semiconductor Research Corporation (SRC)) and Kirby Maxey (Smithe) on #2dmaterials by MOCVD on 300 mm wafers Intel. #VLSI22

Great talks @VLSI_2022 today by current and past PopLab members: <a href="/asirkhan22/">Asir Intisar Khan</a> on superlattice PCM (<a href="/srcorg/">Semiconductor Research Corporation (SRC)</a>) and Kirby Maxey (Smithe) on #2dmaterials by MOCVD on 300 mm wafers <a href="/intel/">Intel</a>. #VLSI22
Eric Pop (@profericpop) 's Twitter Profile Photo

Our collaboration led by Arka Majumdar UW ECE is out Nature Nanotechnology: silicon photonic switches with phase-change materials and graphene heaters. Stanford work led by Asir Intisar Khan and Katie Neilson, with Juejun Hu of DMSE at MIT and friends Draper. See: nature.com/articles/s4156…

Eric Pop (@profericpop) 's Twitter Profile Photo

Our work led by Asir Intisar Khan is out in Nano Letters. For phase-change memory based on superlattices (here Ge2Sb2Te5/Sb2Te3), the "sharpness" of the van der Waals interfaces is very important. If they are disordered, the memory performance gets worse. doi.org/10.1021/acs.na…

Alwin Daus (@alwindaus) 's Twitter Profile Photo

Our work on fast #thermal #sensing with monolayer MoS2 on #flexible substrates is now published in Nano Letters! With record response time, more than 100 times faster than flexible thin-film metal sensors. Asir Intisar Khan Aravindh Kumar Ryan Grady Eric Pop pubs.acs.org/doi/10.1021/ac…

Eric Pop (@profericpop) 's Twitter Profile Photo

A well-illustrated, good write-up from friends Intel explaining how 3D-stacked transistors (a.k.a. nanosheets or nanoribbons) will continue Moore's Law to even higher transistor densities. Semiconductor Research Corporation (SRC) 3D-Stacked CMOS Takes Moore’s Law to New Heights spectrum.ieee.org/3d-cmos

Eric Pop (@profericpop) 's Twitter Profile Photo

Why does #phasechangememory "drift"? Xiangjin Wu and Asir Intisar Khan found that interfaces play a key role. More interfaces (as in a superlattice) means lower drift, up to a point. Optimized devices are good candidates for neuromorphic computing. Semiconductor Research Corporation (SRC) ieeexplore.ieee.org/document/98753…

Asir Intisar Khan (@asirkhan22) 's Twitter Profile Photo

Delighted and honored to be selected as one of the three recipients of the 2022 IEEE Electron Device Society Ph.D. Student Fellowship Award! Thanks to Eric Pop for the nomination and IEEE Electron Devices Society for the recognition! eds.ieee.org/education/stud…

Asir Intisar Khan (@asirkhan22) 's Twitter Profile Photo

At #F23MRS, I will present our latest work on low-resistivity topological semimetals and their unconventional transport for scaled nanoelectronics. Looking forward to discussions and collaborations. Materials Research Society (MRS)

At #F23MRS, I will present our latest work on low-resistivity topological semimetals and their unconventional transport for scaled nanoelectronics. Looking forward to discussions and collaborations.
<a href="/Materials_MRS/">Materials Research Society (MRS)</a>
Stanford Engineering (@stanfordeng) 's Twitter Profile Photo

Stanford researchers have developed a new phase-change memory that could help computers process large amounts of data faster and more efficiently. Eric Pop engineering.stanford.edu/magazine/new-c…

Asir Intisar Khan (@asirkhan22) 's Twitter Profile Photo

Congratulations to my postdoc advisor Prof. Sayeef Salahuddin Sayeef Salahuddin for being elected as an AAAS (AAAS) Fellow! newscenter.lbl.gov/2024/04/18/fiv…

Eric Pop (@profericpop) 's Twitter Profile Photo

When thinking of the big picture of one's PhD (in STEM), think of the 4 quadrants below. Good PhD theses have deep contributions in at least 2 or 3 of these quadrants; covering all 4 is pretty rare. H/t Ken Goodson, who gave me this advice during my own PhD (~20 yrs ago).

When thinking of the big picture of one's PhD (in STEM), think of the 4 quadrants below. Good PhD theses have deep contributions in at least 2 or 3 of these quadrants; covering all 4 is pretty rare. H/t Ken Goodson, who gave me this advice during my own PhD (~20 yrs ago).
Eric Pop (@profericpop) 's Twitter Profile Photo

Picking a good scientific problem is hard, and not entirely teachable. A "good problem" also depends on the life stage of the researcher. Uri Alon wrote one of the best guides I have seen on this topic. doi.org/10.1016/j.molc…

Picking a good scientific problem is hard, and not entirely teachable. A "good problem" also depends on the life stage of the researcher. <a href="/UriAlonWeizmann/">Uri Alon</a> wrote one of the best guides I have seen on this topic. doi.org/10.1016/j.molc…