Results 211 to 220 of about 12,224 (308)

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Lane formation in criss-crossing crowds. [PDF]

Proc Natl Acad Sci U S A
Kroy K.
europepmc   +1 more source

Research in elementary particle physics. Technical progress report, May 1, 1980-April 30, 1981

, 1981
L. Kirsch, Hans Schnitzer
openalex   +2 more sources

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

New precise solitary wave solutions for coupled Higgs field equations via two enhanced methods. [PDF]

Sci Rep
Hassan U, Sabi'u J, Yakubu UA, Aidara CAT, Muhammad UA.   +4 more
europepmc   +1 more source

Research program in elementary particle physics, Task A; Outstanding Junior Investigator Program, Task B. Final report, July 1, 1985--December 31, 1991 and Final report, July 1, 1987--December 31, 1991

, 1991
V. Balachandran, Rosenzweig, Schechter, Wali, Mark J. Bowick   +4 more
openalex   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Gravitational catalysis of nuclear synthesis from positrons, electrons and neutrinos. [PDF]

Sci Rep
Vayenas CG, Tsousis DG, Martino E.
europepmc   +1 more source

Research on elementary particle physics, Task P: Studies in theory and phenomenology of elementary physics. Annual progress report, November 1, 1992--October 31, 1992: Part 1

, 1993
L. Holloway, T. O’Halloran
openalex   +2 more sources

Curved Nanographene–Graphite Hybrid Anodes with Sequential Li+ Insertion for Fast‐Charging and Long‐Life Li‐Ion Batteries

Advanced Functional Materials, EarlyView.
A hybrid anode composed of Cl‐functionalized curved nanographene and graphite enables ultra‐fast charging and long cycle life through an engineered morphology and sequential Li+ insertion. It delivers 100 mAh g−1 at 5 C with 70% capacity retention after 1000 cycles and maintains stable performance over 2000 cycles in pouch cells, providing a practical ...
Hyunji Cha, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Jeongmi Joo, Dae Hyeon Kwon, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +8 more
wiley   +1 more source