Sumaira Naeem

Data‐Driven Molecular Architectonics for Dye Discovery: Integrating Gradient Boosting Paradigms With Retrosynthetic Fragmentation for Band Gap Optimization

Maymounah N. Alharthi, Anthony Pembere, Khadijah MohammedSaleh Katubi, Sumaira Naeem et autres

The current research is based on data‐driven chemical space generation of dyes and prediction of their band gaps by employing machine learning techniques. A wide range of dyes is used in the current research, along with various machine learning techniques, to check …

sa, Kenya, pk, tr (code pays fourni par la source)

Navigating the Fluorophore Chemical Cosmos: Integrative Similarity Topology, SYBA-Guided Synthesizability, and BRICS-Driven Molecular Reassembly

Rawiyah Alkahtani, Sumaira Naeem, Norah Alomayrah, M. S. Al-Buriahi

sa, pk, tr (code pays fourni par la source)

Latent chemospace cartography of polymer emitters via machine learning and fragment-recombinative design heuristics

Nora Mobark Farhan, Sumaira Naeem, Norah Alomayrah, M.S. Al‐Buriahi

sa, pk, tr (code pays fourni par la source)

Machine Learning‐guided Design of Conducting Polymers for UV–vis Photodetectors

Norah Alomayrah, Jawayria Najeeb, Sumaira Naeem, Humaira Imtiaz et autres

ABSTRACT For fabricating the high‐performance wide bandgap polymeric ultraviolet visible (UV–vis) photodetectors, the selection of the polymer to be utilized as an active photo‐detection material in such devices is quite difficult task. The efficiency of these photodetectors is directly linked with the …

sa, pk, tr (code pays fourni par la source)

Reconstructing Solar Materials Innovation Through Data Science: A Review of Opportunities and Structural Bottlenecks

Khadijah MohammedSaleh Katubi, Sumaira Naeem, Norah Alomayrah, M.S. Al-Buriahi

This review highlights the transformative role of data science in accelerating the design and discovery of advanced solar cell materials. Moving beyond traditional trial‐and‐error and computationally intensive quantum methods, data‐driven approaches offer a powerful alternative for rapid and cost‐effective materials screening. We …

sa, pk, tr (code pays fourni par la source)

Photodetectors

Sumaira Naeem

Polymers are designed for photodetectors.

Photodetectors

Sumaira Naeem

Polymers are designed for photodetectors.

A Review on the Recent Progress of Two‐Dimensional (2D) MXenes and Graphene‐Based Anode Materials for Advanced Sodium‐Ion Batteries

Laraib Kiran, Sumaira Naeem, Khuram Shahzad, Abdul Haleem et autres

The performance of sodium‐ion battery (SIB) is dependent on the inherent characteristics of materials. Extensive research has been done on two‐dimensional (2D) materials due to their exceptional features. MXenes, which are 2D transition metal carbides and nitrides, exhibit outstanding performance in Na …

us, pk, cn, th, my (code pays fourni par la source)

Designing high electron affinity small molecule acceptors through comprehensive chemical library generation

Mudassir Hussain Tahir, Sumaira Naeem, Ihab Mohamed Moussa

cn, pk, sa (code pays fourni par la source)

Author response for "Green synthesized cerium oxide nanorods using Curcuma longa extract for response surface methodology-based photocatalytic degradation application"

Jawayria Najeeb, Sadia Akram, Sumaira Naeem, Hummera Rafique et autres

Y6OSCs

Sumaira Naeem

Designing and screening of polymer donors for Y6 based organic solar cells

Acute Respiratory Distress Syndrome (ARDS) Mortality Trends in the United States of America (USA) From 1999-2022 and Future Predictions Using Machine Learning

Muhammad Hassan, Sumaira Naeem, Mohamed Ahmed Abdullah, Salman Muddassir et autres

Abstract Rationale: Acute Respiratory Distress Syndrome (ARDS) is a critical condition with a historically high mortality rate in the United States. Since the COVID-19 pandemic, which has been associated with severe respiratory complications similar to ARDS, understanding ARDS-related mortality trends has gained …

us (code pays fourni par la source)