Results 171 to 180 of about 2,645,187 (293)

The Effects of Surface Texturing on the Oxidation of Metals Analyzed through Kinetic Monte Carlo Simulations. [PDF]

ACS Omega
Mysonhimer M, Samin AJ.
europepmc   +1 more source

Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory

Advanced Science, EarlyView.
This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Jeong‐Min Park, Yeong‐In Kim, Jeong Hyun Yoon, Sein Lee, Wooho Ham, Dongyun Lee, Junseo Lee, Dongwook Shin, Kyung Jun Park, Seok Daniel Namgung, Min‐Kyu Song, Jang‐Yeon Kwon   +11 more
wiley   +1 more source

Integrating Experimental Measurements, WinXCom Calculations and Monte Carlo Simulations to Evaluate the Ionizing Radiation Shielding Performance of UPR/Bi₂WO₆ Nanocomposites. [PDF]

Polymers (Basel)
Ongun İE, Karabul Y.
europepmc   +1 more source

Mechanistic Insights Into Instability From Single Void Dynamics at the Lithium Metal‐Solid Electrolyte Interface

Advanced Science, EarlyView.
Void morphology at the lithium metal‐solid electrolyte contact governs electrochemical contact stability in all‐solid‐state batteries. This work resolves the competing roles of electrochemical reaction, bulk vacancy diffusion, and distinct surface diffusion pathways in dictating the size and morphology evolution of a single void and its transition to a
Sourim Banerjee, Bairav S. Vishnugopi, Guang Lin, Partha P. Mukherjee   +3 more
wiley   +1 more source

Evaluation of extrapolation chamber response for surface and buildup dose assessment in radiotherapy photon beams using Monte Carlo simulations. [PDF]

Med Phys
Reis CQM, Muir BR, Nicolucci P, Rogers DWO.   +3 more
europepmc   +1 more source

Quantifying the Dynamics of Network Detachment Across Scientific, Technological, Commercial, and Pharmacological Domains

Advanced Science, EarlyView.
Across scientific, technological, commercial, and pharmacological domains, individuals and organizations disengage from a previously adopted practice not at random, but as their network neighbors detach. The probability of detachment rises with the number of neighbors who have already disengaged. Preferential detachment reshapes network disintegration,
Binglu Wang, Ching Jin, Chaoming Song, Johannes Bjelland, Brian Uzzi, Dashun Wang   +5 more
wiley   +1 more source

Monte Carlo simulations of time-resolved blood flow index: times-of-flight beyond ∼1 ns are necessary for brain-dominated measurements. [PDF]

Neurophotonics
Hill DW, Behera A, Etard O, Zhang Y, Tran-Van-Minh A, Ruesch A, Ness L, Maine C, Salehi Lashkajani A, Parfentyeva V, Singh N, Antrobus A, Prudden R, Sanjurjo PV, Avtzi S, Dragojević T, Borycki D, Valley MT, Cooper RJ.   +18 more
europepmc   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Monte Carlo simulations of geometric deformation of Harrison-Anderson-Mick applicators used in intraoperative radiation therapy. [PDF]

J Appl Clin Med Phys
Insley B, Bocian B, Beddar S, Reiazi R, Jensen PJ, Martin-Paulpeter RM, Niedzielski JS, Flint D, Sawakuchi GO, Perles LA.   +9 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source