1 7178835943 | [email protected]

ICPMMC · Registering as Listener

International Conference on Predictive Modeling in Molecular Chemistry

13th Oct – 14th Oct 2026 Shanghai, China Standard / Physical Participation

Listener Registration From

$—

$— in person

Registration Benefits:

Official invitation letterIssued automatically after registration

Certificate & digital materialsGet certificate, slides and resource materials

Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

Standard / Physical $—

On-site keynotes, talks, workshops, networking, conference kit and certificate.

Select

Virtual $—

Live streaming access to all sessions, digital materials and certificate.

Select

All sessions Networking Certificate Invitation letter Conference kit

Amount:

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Full Name *

Email Address *

Mobile Number *

City *

State *

Country *

Zip / Postal Code

Address

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

For Support Please Contact

[email protected]

Coupon code

Have a code? Apply it here — the discount updates the total immediately.

Apply

I agree to the Terms & Conditions and Refund & Cancellation Policy

VISA MC AMEX UPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICPMMC

ModeStandard / Physical

ParticipationListener

Registration fee$—

Bank charges (5.8%)$—

Discount-$0.00

Total payable $—

Includes all bank processing charges — the amount above is exactly what will be charged. View charge breakdown

Need help?

Contact our registration team:

1 7178835943

[email protected]

Benefits of Registering as Listener

Access to Conference Sessions

Networking Opportunities

Certificate of Participation

Invitation Letter Support

Conference Kit / Materials

Access to Keynote Sessions

Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Predictive Modeling in Molecular Chemistry conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 12 - Responsible Consumption and Production

This track focuses on the latest methodologies in predictive modeling within molecular chemistry. Emphasis will be placed on innovative algorithms and their applications in chemical property prediction.

This session explores the integration of machine learning techniques in theoretical chemistry. Participants will discuss case studies demonstrating the effectiveness of these approaches in molecular simulations.

This track delves into the development and validation of QSAR models for predicting chemical properties. Discussions will highlight recent advancements and challenges in this vital area of chemoinformatics.

This session will cover various molecular simulation techniques used to predict reaction mechanisms and molecular behavior. Attendees will share insights on the accuracy and efficiency of these simulations.

This track emphasizes the role of data-driven modeling in enhancing chemical informatics. Presentations will focus on the use of large datasets to improve predictive accuracy and model robustness.

This session will showcase computational tools designed for optimizing molecular properties. Participants will discuss the latest software and methodologies that facilitate property enhancement.

This track focuses on the development of novel algorithms aimed at improving chemical property predictions. Researchers will present their findings on algorithm efficiency and applicability.

This session will explore the integration of quantum chemistry calculations into predictive modeling frameworks. Discussions will highlight the impact of quantum methods on the accuracy of predictions.

This track addresses the critical aspects of model validation in predictive modeling. Participants will discuss methodologies for assessing model performance and reliability.

This session will explore how predictive modeling is transforming chemical engineering practices. Case studies will illustrate the practical applications of theoretical models in engineering solutions.

This track will examine emerging trends and future directions in computational chemistry. Experts will discuss the potential impact of new technologies and methodologies on the field.