Results 161 to 170 of about 1,721,122 (260)

Identifiability of Large Phylogenetic Mixtures for Many Phylogenetic Model Structures. [PDF]

Bull Math Biol
Kagy B, Sullivant S.
europepmc   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

Advanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin, Jaewon An, Dongbin Shin, Hyeon‐Jin Shin, Jie Luo, Akel Hashim, Irfan Siddiqi, Yosep Kim, Long B. Nguyen, Hoon Hahn Yoon   +11 more
wiley   +1 more source

Nanocatalytic Immunotherapy Targeting Tumor‐Resident Intracellular Bacteria for Triple‐Negative Breast Cancer Treatment and Metastasis Suppression

Advanced Science, EarlyView.
Bacteria residing within tumor cells contribute to breast cancer progression, but few therapies target their elimination. FeSe2 nanosheets coated with cancer cell membranes accumulate in tumors and generate reactive oxygen species under ultrasound, killing tumor cells and their harbored bacteria at the same time.
Xiaojing Leng, Tao Jiang, Zhao Guo, Zhimin Zhang, Yihan Chen, Pan Li, Min Ge, Han Lin, Liang Zhang   +8 more
wiley   +1 more source

Graph fractional Fourier transform

Cataloged from PDF version of article.
openaire   +1 more source

Variance and volatility swap valuation with nonlinear liquidity-feedback stochastic volatility and regime switching. [PDF]

PLoS One
Fu J, Wang K.
europepmc   +1 more source

Contact‐Free Human‐Machine Interfaces via Printed Thermopile Infrared Arrays

Advanced Science, EarlyView.
Can a printed sheet locate and sense a fingertip without being touched? Fully printed, flexible thermoelectric arrays convert the infrared from a hovering finger directly into voltage, with no external power. Aerosol‐jet‐printed silver mirrors partially shield each pixel, creating a local temperature gradient.
Zirui Wang, Nan Luo, Amrutha Bose, Muhammad Irfan Khan, Jiayi Liu, Leon Viktor Klinder, Leonard Franke, Mohamed Hussein, Uli Lemmer, Md Mofasser Mallick   +9 more
wiley   +1 more source

Solution‐Shearing of Highly Smooth Ion‐Gel Thin Films: Facilitating the Deposition of Organic Semiconductors for Ion‐Gated Organic Field Effect Transistors

Advanced Electronic Materials, Volume 11, Issue 6, May 2025.
A straightforward method is introduced to produce ion‐gel films with very low surface roughness by employing a solution‐shearing coating process. These ion‐gel films permit the growth of crystalline thin films of various small molecule organic semiconductor molecules directly on top of the ion‐gel layer, thereby enabling “inverted” small molecule ...
Jonathan Perez Andrade, Angelika Wrzesińska‐Lashkova, Anupam Prasoon, Felix Talnack, Katherina Haase, Bernd Büchner, Xinliang Feng, Yana Vaynzof, Mike Hambsch, Yulia Krupskaya, Stefan C. B. Mannsfeld   +10 more
wiley   +1 more source

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

Advanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade, Isaac Vidal‐Daza, Rafael Gómez‐Bombarelli, James W. Ryan, Francisco J. Martin‐Martinez   +4 more
wiley   +1 more source

FPGLNet: A Lightweight Frequency Prior-Gated Network for EEG Emotion Recognition. [PDF]

Sensors (Basel)
Yuan Y, Bi Y, Liu S, Huo L.
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source